Label Studio

Integrates with Label Studio's data labeling platform to manage annotation projects, import tasks, handle predictions, and streaml

humansignal 33
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Label Studio MCP server by HumanSignal that provides AI assistants with programmatic access to Label Studio data labeling platform through the official label-studio-sdk. The implementation offers comprehensive project management capabilities including creating projects with XML labeling configurations, importing tasks from JSON files, and managing predictions, alongside task-level operations for retrieving data, annotations, and adding model predictions to specific tasks. Built with Python using FastMCP and requiring Label Studio API credentials, it serves teams building AI-powered labeling workflows, data scientists needing conversational access to annotation projects, and organizations integrating Label Studio into broader machine learning pipelines where natural language interaction with labeling infrastructure streamlines data preparation and model training processes.

Source

Repository: https://github.com/humansignal/label-studio-mcp-server

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